





"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCamelCase    	=      logging.get_logger(__name__)

_lowerCamelCase    	=      {
    '''xlm-roberta-base''': '''https://huggingface.co/xlm-roberta-base/resolve/main/config.json''',
    '''xlm-roberta-large''': '''https://huggingface.co/xlm-roberta-large/resolve/main/config.json''',
    '''xlm-roberta-large-finetuned-conll02-dutch''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-dutch/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll02-spanish''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll02-spanish/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-english''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-english/resolve/main/config.json'''
    ),
    '''xlm-roberta-large-finetuned-conll03-german''': (
        '''https://huggingface.co/xlm-roberta-large-finetuned-conll03-german/resolve/main/config.json'''
    ),
}





class      snake_case						(  _UpperCAmelCase  ):
      lowerCamelCase__         =					'xlm-roberta'

      def __init__(     self  :List[str]		,				_lowerCamelCase  :int=3_0_5_2_2		,				_lowerCamelCase  :Union[str, Any]=7_6_8		,				_lowerCamelCase  :Optional[Any]=1_2		,				_lowerCamelCase  :int=1_2		,				_lowerCamelCase  :Any=3_0_7_2		,				_lowerCamelCase  :str="gelu"		,				_lowerCamelCase  :List[Any]=0.1		,				_lowerCamelCase  :Union[str, Any]=0.1		,				_lowerCamelCase  :Optional[Any]=5_1_2		,				_lowerCamelCase  :int=2		,				_lowerCamelCase  :Optional[int]=0.0_2		,				_lowerCamelCase  :Union[str, Any]=1e-12		,				_lowerCamelCase  :List[Any]=1		,				_lowerCamelCase  :str=0		,				_lowerCamelCase  :Optional[Any]=2		,				_lowerCamelCase  :str="absolute"		,				_lowerCamelCase  :int=True		,				_lowerCamelCase  :str=None		,				**_lowerCamelCase  :Tuple		,				):
       super().__init__(pad_token_id=__UpperCamelCase		,				bos_token_id=__UpperCamelCase		,				eos_token_id=__UpperCamelCase		,				**__UpperCamelCase		)

       __SCREAMING_SNAKE_CASE					:     List[str]   				=			vocab_size
       __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			hidden_size
       __SCREAMING_SNAKE_CASE					:     int   				=			num_hidden_layers
       __SCREAMING_SNAKE_CASE					:     Optional[Any]   				=			num_attention_heads
       __SCREAMING_SNAKE_CASE					:     Union[str, Any]   				=			hidden_act
       __SCREAMING_SNAKE_CASE					:     List[str]   				=			intermediate_size
       __SCREAMING_SNAKE_CASE					:     Optional[Any]   				=			hidden_dropout_prob
       __SCREAMING_SNAKE_CASE					:     Any   				=			attention_probs_dropout_prob
       __SCREAMING_SNAKE_CASE					:     Any   				=			max_position_embeddings
       __SCREAMING_SNAKE_CASE					:     Union[str, Any]   				=			type_vocab_size
       __SCREAMING_SNAKE_CASE					:     str   				=			initializer_range
       __SCREAMING_SNAKE_CASE					:     Dict   				=			layer_norm_eps
       __SCREAMING_SNAKE_CASE					:     Tuple   				=			position_embedding_type
       __SCREAMING_SNAKE_CASE					:     Optional[int]   				=			use_cache
       __SCREAMING_SNAKE_CASE					:     List[Any]   				=			classifier_dropout







class      snake_case						(  _UpperCAmelCase  ):

      @property
      def 		SCREAMING_SNAKE_CASE_     (     self  :str		):






       if self.task == "multiple-choice":
        __SCREAMING_SNAKE_CASE					:     int   				=			{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
       else:
        __SCREAMING_SNAKE_CASE					:     Dict   				=			{0: '''batch''', 1: '''sequence'''}
       return OrderedDict(
           [
               ('''input_ids''', dynamic_axis),
               ('''attention_mask''', dynamic_axis),
           ]		)



"""simple docstring"""



import math




class 		a_    :







    def   _snake_case       (      self      :							List[Any]  ,       __UpperCamelCase      :							list[list[float]]  ,       __UpperCamelCase      :							list[int]  )		->int:






        '''simple docstring'''






        _UpperCAmelCase        = 0.0
        _UpperCAmelCase        = 0.0
        for i in range(len(__UpperCamelCase  )  ):
            da += math.pow((sample[i] - weights[0][i])  ,       2  )
            da += math.pow((sample[i] - weights[1][i])  ,       2  )
            return 0 if da > da else 1
        return 0







    def   _snake_case       (      self      :							Dict  ,       __UpperCamelCase      :							list[list[int | float]]  ,       __UpperCamelCase      :							list[int]  ,       __UpperCamelCase      :							int  ,       __UpperCamelCase      :							float  )		->list[list[int | float]]:






        '''simple docstring'''






        for i in range(len(__UpperCamelCase  )  ):
            weights[j][i] += alpha * (sample[i] - weights[j][i])
        return weights







def 			_UpperCamelCase						(    )     ->	None:





    """simple docstring"""

    _UpperCAmelCase        = [[1, 1, 0, 0], [0, 0, 0, 1], [1, 0, 0, 0], [0, 0, 1, 1]]

    # weight initialization ( n, C )
    _UpperCAmelCase        = [[0.2, 0.6, 0.5, 0.9], [0.8, 0.4, 0.7, 0.3]]

    # training
    _UpperCAmelCase        = SelfOrganizingMap()
    _UpperCAmelCase        = 3
    _UpperCAmelCase        = 0.5

    for _ in range(_A   ):
        for j in range(len(_A   )   ):
            # training sample
            _UpperCAmelCase        = training_samples[j]

            # Compute the winning vector
            _UpperCAmelCase        = self_organizing_map.get_winner(_A       ,   _A   )

            # Update the winning vector
            _UpperCAmelCase        = self_organizing_map.update(_A       ,   _A       ,   _A       ,   _A   )

    # classify test sample
    _UpperCAmelCase        = [0, 0, 0, 1]
    _UpperCAmelCase        = self_organizing_map.get_winner(_A       ,   _A   )

    # results
    print(F"""Clusters that the test sample belongs to : {winner}"""   )
    print(F"""Weights that have been trained : {weights}"""   )


# running the main() function
if __name__ == "__main__":
 main()